Approximations and Progressive Reasoning
نویسندگان
چکیده
abstract Real-time artiicial intelligent systems are required to respond within a given deadline or to assure an optimal response time. Despite the success of anytime algorithm and approximate processing, more work is still needed, especially in order to address properly the guarantee response time problem. This paper presents a model, called GREAT Mouad-dib 92b], which combines progressive reasoning and approximate processing to guarantee response in short time limits. This model consists of a multi-level reasoning which builds up a solution progressively through diier-ent levels, from an approximate solution (at the upper level) to a more detailed one (at the lower levels).
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تاریخ انتشار 1992